Python offers a variety of data structures to hold our information — the dictionary being one of the most useful. Python dictionaries quick, easy to use, and flexible. As a beginning programmer, you can use this Python tutorial to become familiar with dictionaries and their common uses so that you can start incorporating them immediately into […]
Error metrics are short and useful summaries of the quality of our data. We dive into four common regression metrics and discuss their use cases.
Explore statistics for data science by learning probability is, normal distributions, and the z-score — all within the context of analyzing wine data.
Learn how to do descriptive statistics in Python with this in-depth tutorial that covers the basics (mean, median, and mode) and more advanced topics.
Python generators are a powerful, but misunderstood tool. They’re often treated as too difficult a concept for beginning programmers to learn — creating the illusion that beginners should hold off on learning generators until they are ready. I think this assessment is unfair, and that you can use generators sooner than you think. In this […]